Alexander Leong

toshibaalexander@gmail.com

Software Engineer

Brisbane, Australia

Github| LinkedIn| Travel

About

Software engineer with over 8 years experience in multiple industries from Finance, IT to Aerospace and R&D.

I primarily develop back-end applications in C++, Julia and Python but occasionally delve and learn other programming languages.

My main research interests are specifically developing algorithms and systems that can scale to large problems because that's what enables solutions to deliver real-world impact.

Over the course of my studies I enjoy travelling, photography and just applying mathematics to solve the most challenging problems.

Experience

(2015 -) Software Engineer

Boeing
Brisbane, Australia

Worked across several projects from developing scheduling optimization software, building database and distributed systems and mobile web applications for factory mechanics.
  Programming Languages: C++, C#, Go, Java, Python, Typescript

(2014 - 2015) Pricing Process Officer

Suncorp Group
Brisbane, Australia

Streamlining data-driven systems used in pricing optimization.
  Programming Languages: SAS

Education

(2023-) Masters of Robotics and Artificial Intelligence

Queensland University of Technology, Brisbane, Australia

(2013) BEng Software Engineering

Queensland University of Technology, Brisbane, Australia

Selected Projects and Presentations

Path Planning using Polynomial Optimization (current)

Developing optimization methods for safe obstacle avoidance.

WebApp

Max Flow Min Cut via Linear Programming Tutorial

This Pluto.jl notebook walks through how to formulate the max flow problem as an LP problem using JuMP and the HiGHS solver as well as visualizing and verifying the resulting optimal solution.

Github

MRI Compressed Sensing and Denoising

This dashboard application can be used to further research into the application of compressed sensing techniques in magnetic resonance imaging using isometric and anisotropic filtering via the Split-Bregman method.

Presented at JuliaCon 2023 Cambridge, MA

YouTube | WebApp

Unscented Kalman Filter on TrajAir

This demo application helps better understand how an unscented kalman filter can be tuned to estimate flight trajectories.

WebApp